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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ukb-d-1468_5_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2019-11-25T15:19:44.594123",
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"bcftools_annotateCommand": "annotate -a /mnt/storage/home/gh13047/mr-eve/vcf-reference-datasets/dbsnp/dbsnp.v153.b37.vcf.gz -c ID -o /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ukb-d-1468_5.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ukb-d-1468_5_data.vcf.gz; Date=Mon Nov 25 16:13:07 2019",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-d-1468_5/ukb-d-1468_5.vcf.gz; Date=Sun May 10 01:37:59 2020"
}
*********************************************************************
* LD Score Regression (LDSC)
* Version 1.0.1
* (C) 2014-2019 Brendan Bulik-Sullivan and Hilary Finucane
* Broad Institute of MIT and Harvard / MIT Department of Mathematics
* GNU General Public License v3
*********************************************************************
Call:
./ldsc.py \
--h2 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ukb-d-1468_5.vcf.gz \
--ref-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Mon Nov 25 16:53:17 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1468_5/ukb-d-1468_5.vcf.gz ...
Read summary statistics for 13584942 SNPs.
Dropped 12708 SNPs with duplicated rs numbers.
Reading reference panel LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read reference panel LD Scores for 1290028 SNPs.
Removing partitioned LD Scores with zero variance.
Reading regression weight LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1283502 SNPs remain.
After merging with regression SNP LD, 1283502 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.036 (0.0021)
Lambda GC: 1.1978
Mean Chi^2: 1.2253
Intercept: 1.0149 (0.0074)
Ratio: 0.0662 (0.0328)
Analysis finished at Mon Nov 25 16:55:40 2019
Total time elapsed: 2.0m:23.1s
{
"af_correlation": 0.9521,
"inflation_factor": 1.1247,
"mean_EFFECT": 0,
"n": 299898,
"n_snps": 13584942,
"n_clumped_hits": 11,
"n_p_sig": 7776,
"n_mono": 0,
"n_ns": 1251766,
"n_mac": 0,
"is_snpid_unique": false,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 568810,
"n_est": 300979.8991,
"ratio_se_n": 1.0018,
"mean_diff": 0,
"ratio_diff": 38.9251,
"sd_y_est1": 0.3944,
"sd_y_est2": 0.3952,
"r2_sum1": 0.0002,
"r2_sum2": 0.0012,
"r2_sum3": 0.0012,
"r2_sum4": 0.0012,
"ldsc_nsnp_merge_refpanel_ld": 1283502,
"ldsc_nsnp_merge_regression_ld": 1283502,
"ldsc_observed_scale_h2_beta": 0.036,
"ldsc_observed_scale_h2_se": 0.0021,
"ldsc_intercept_beta": 1.0149,
"ldsc_intercept_se": 0.0074,
"ldsc_lambda_gc": 1.1978,
"ldsc_mean_chisq": 1.2253,
"ldsc_ratio": 0.0661
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | FALSE |
n | FALSE |
is_snpid_non_unique | TRUE |
mean_EFFECT_nonfinite | FALSE |
mean_EFFECT_05 | FALSE |
mean_EFFECT_01 | FALSE |
mean_chisq | FALSE |
n_p_sig | TRUE |
miss_EFFECT | FALSE |
miss_SE | FALSE |
miss_PVAL | FALSE |
ldsc_ratio | FALSE |
ldsc_intercept_beta | FALSE |
n_clumped_hits | FALSE |
r2_sum1 | FALSE |
r2_sum2 | FALSE |
r2_sum3 | FALSE |
r2_sum4 | FALSE |
General metrics
af_correlation
: Correlation coefficient between AF
and AF_reference
.inflation_factor
(lambda
): Genomic inflation factor.mean_EFFECT
: Mean of EFFECT
size.n
: Maximum value of reported sample size across all SNPs, \(n\).n_clumped_hits
: Number of clumped hits.n_snps
: Number of SNPsn_p_sig
: Number of SNPs with pvalue below 5e-8
.n_mono
: Number of monomorphic (MAF == 1
or MAF == 0
) SNPs.n_ns
: Number of SNPs with nonsense values:
A, C, G or T
.< 0
or > 1
.<= 0
or = Infinity
).< 0
or > 1
.n_mac
: Number of cases where MAC
(\(2 \times N \times MAF\)) is less than 6
.is_snpid_unique
: true
if the combination of ID
REF
ALT
is unique and therefore no duplication in snpid.n_miss_<*>
: Number of NA
observations for <*>
column.se_n metrics
n_est
: Estimated sample size value, \(\widehat{n}\).ratio_se_n
: \(\texttt{ratio_se_n} = \frac{\sqrt{\widehat{n}}}{\sqrt{n}}\). We expect ratio_se_n
to be 1. When it is not 1, it implies that the trait did not have a variance of 1, the reported sample size is wrong, or that the SNP-level effective sample sizes differ markedly from the reported sample size.mean_diff
: \(\texttt{mean_diff} = \sum_{j} \frac{\widehat{\beta_j^{std}} - \beta_j}{\texttt{n_snps}}\), mean difference between the standardised beta, predicted from P-values, and the observed beta. The difference should be very close to zero if trait has a variance of 1.
ratio_diff
: \(\texttt{ratio_diff} = |\frac{\texttt{mean_diff}}{\texttt{mean_diff2}}|\), absolute ratio between the mean of diff
and the mean of diff2
(expected difference between the standardised beta predicted from P-values, and the standardised beta derived from the observed beta divided by the predicted SD; NOT reported). The ratio should be close to 1. If different from 1, then implies that the betas are not in a standard deviation scale.
sd_y_est1
: The standard deviation for the trait inferred from the reported sample size, median standard errors for the SNP-trait assocations and SNP variances.
sd_y_est2
: The standard deviation for the trait inferred from the reported sample size, Z statistics for the SNP-trait effects (beta/se) and allele frequency.
r2 metrics
Sum of variance explained, calculated from the clumped top hits sample.
r2_sum<*>
: r2
statistics under various assumptions
1
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var1}}}\), \(\texttt{var1} = 1\).2
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var2}}}\), \(\texttt{var2} = {\widehat{\texttt{sd1}}_{y}}^2\),3
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var3}}}\), \(\texttt{var3} = {\widehat{\texttt{sd2}}_{y}}^2\),4
: \(r^2 = \sum_j{\frac{F_j}{F_j + n - 2}}\), \(F = \frac{\beta_j^2}{{se}_j^2}\).LDSC metrics
Metrics from LD regression
ldsc_nsnp_merge_refpanel_ld
: Number of remaining SNPs after merging with reference panel LD.ldsc_nsnp_merge_regression_ld
: Number of remaining SNPs after merging with regression SNP LD.ldsc_observed_scale_h2_{beta,se}
Coefficient value and SE for total observed scale h2.ldsc_intercept_{beta,se}
: Coefficient value and SE for intercept. Intercept is expected to be 1.ldsc_lambda_gc
: Lambda GC statistics.ldsc_mean_chisq
: Mean \(\chi^2\) statistics.ldsc_ratio
: \(\frac{\texttt{ldsc_intercept_beta} - 1}{\texttt{ldsc_mean_chisq} - 1}\), the proportion of the inflation in the mean \(\chi^2\) that the LD Score regression intercepts ascribes to causes other than polygenic heritability. The value of ratio should be close to zero, though in practice values of 0.1-0.2 are not uncommon, probably due to sample/reference LD Score mismatch or model misspecification (e.g., low LD variants have slightly higher \(h^2\) per SNP).Flags
When a metric needs attention, the flag should return TRUE.
af_correlation
: abs(af_correlation)
< 0.7.inflation_factor
: inflation_factor
> 1.2.n
: n
(max reported sample size) < 10000.is_snpid_non_unique
: NOT is_snpid_unique
.mean_EFFECT_nonfinite
: mean(EFFECT)
is NA
, NaN
, or Inf
.mean_EFFECT_05
: abs(mean(EFFECT))
> 0.5.mean_EFFECT_01
: abs(mean(EFFECT))
> 0.1.mean_chisq
: ldsc_mean_chisq
> 1.3 or ldsc_mean_chisq
< 0.7.n_p_sig
: n_p_sig
> 1000.miss_<*>
: n_miss_<*>
/ n_snps
> 0.01.ldsc_ratio
: ldsc_ratio
> 0.5ldsc_intercept_beta
: ldsc_intercept_beta
> 1.5n_clumped_hits
: n_clumped_hits
> 1000r2_sum<*>
: r2_sum<*>
> 0.5Plots
skim_type | skim_variable | n_missing | complete_rate | character.min | character.max | character.empty | character.n_unique | character.whitespace | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
character | ID | 0 | 1.0000000 | 3 | 94 | 0 | 13572898 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 57084 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 33335 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.051341e+00 | 6.184945e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.300000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.902534e+07 | 5.591498e+07 | 3.02000e+02 | 3.293099e+07 | 7.013865e+07 | 1.148594e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.250000e-05 | 6.018800e-03 | -6.68682e-02 | -1.687400e-03 | -5.200000e-06 | 1.694500e-03 | 8.059320e-02 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.278200e-03 | 4.126400e-03 | 8.38000e-04 | 1.218300e-03 | 2.244900e-03 | 6.147300e-03 | 2.080380e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.808901e-01 | 2.943154e-01 | 0.00000e+00 | 2.210711e-01 | 4.744200e-01 | 7.359885e-01 | 1.000000e+00 | ▇▇▇▆▆ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.808896e-01 | 2.943158e-01 | 0.00000e+00 | 2.210703e-01 | 4.744199e-01 | 7.359884e-01 | 9.999999e-01 | ▇▇▇▆▆ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.908246e-01 | 2.544077e-01 | 1.00000e-03 | 7.436200e-03 | 6.006090e-02 | 2.953230e-01 | 9.990000e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 568810 | 0.9581294 | NA | NA | NA | NA | NA | 1.963494e-01 | 2.471049e-01 | 0.00000e+00 | 5.591000e-03 | 8.426520e-02 | 3.081070e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.998980e+05 | 0.000000e+00 | 2.99898e+05 | 2.998980e+05 | 2.998980e+05 | 2.998980e+05 | 2.998980e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | 0.0007021 | 0.0017816 | 0.6935376 | 0.6935373 | 0.1107340 | 0.1894970 | 299898 |
1 | 693731 | rs12238997 | A | G | 0.0010797 | 0.0016849 | 0.5216533 | 0.5216517 | 0.1157850 | 0.1417730 | 299898 |
1 | 707522 | rs371890604 | G | C | 0.0000313 | 0.0018930 | 0.9868270 | 0.9868269 | 0.0973319 | 0.1293930 | 299898 |
1 | 717587 | rs144155419 | G | A | -0.0057425 | 0.0045373 | 0.2056511 | 0.2056503 | 0.0155840 | 0.0045926 | 299898 |
1 | 723329 | rs189787166 | A | T | -0.0175764 | 0.0130727 | 0.1787821 | 0.1787829 | 0.0017922 | 0.0003994 | 299898 |
1 | 730087 | rs148120343 | T | C | 0.0030156 | 0.0023446 | 0.1983782 | 0.1983767 | 0.0564910 | 0.0127796 | 299898 |
1 | 731718 | rs142557973 | T | C | 0.0006804 | 0.0015980 | 0.6702580 | 0.6702576 | 0.1217140 | 0.1543530 | 299898 |
1 | 732032 | rs61770163 | A | C | 0.0001076 | 0.0017047 | 0.9496579 | 0.9496579 | 0.1211260 | 0.1555510 | 299898 |
1 | 734349 | rs141242758 | T | C | 0.0007053 | 0.0015988 | 0.6591026 | 0.6591034 | 0.1209330 | 0.1525560 | 299898 |
1 | 740284 | rs61770167 | C | T | 0.0042132 | 0.0072836 | 0.5629658 | 0.5629654 | 0.0058425 | 0.0023962 | 299898 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | 0.0021356 | 0.0018500 | 0.2483299 | 0.2483285 | 0.0560735 | 0.0309934 | 299898 |
23 | 154923374 | rs111332691 | T | A | -0.0004343 | 0.0020342 | 0.8309250 | 0.8309240 | 0.0447119 | 0.0116556 | 299898 |
23 | 154925045 | rs509981 | C | T | -0.0014299 | 0.0009776 | 0.1435641 | 0.1435620 | 0.2454920 | 0.3634440 | 299898 |
23 | 154925895 | rs538470 | C | T | -0.0011724 | 0.0009999 | 0.2409689 | 0.2409661 | 0.2418830 | 0.3634440 | 299898 |
23 | 154927581 | rs644138 | G | A | -0.0008046 | 0.0009195 | 0.3815329 | 0.3815326 | 0.3019500 | 0.4635760 | 299898 |
23 | 154929412 | rs557132 | C | T | -0.0014555 | 0.0009779 | 0.1366690 | 0.1366685 | 0.2453350 | 0.3568210 | 299898 |
23 | 154929637 | rs35185538 | CT | C | -0.0019959 | 0.0010208 | 0.0505499 | 0.0505478 | 0.2295630 | 0.3011920 | 299898 |
23 | 154929952 | rs4012982 | CAA | C | -0.0017711 | 0.0010284 | 0.0850315 | 0.0850296 | 0.2393710 | 0.3165560 | 299898 |
23 | 154930230 | rs781880 | A | G | -0.0014293 | 0.0009777 | 0.1437788 | 0.1437765 | 0.2457780 | 0.3618540 | 299898 |
23 | 154930487 | rs781879 | T | A | -0.0028004 | 0.0033448 | 0.4024593 | 0.4024591 | 0.0196023 | 0.1263580 | 299898 |
1 692794 rs530212009 CA C . PASS AF=0.110734 ES:SE:LP:AF:SS:ID 0.00070206:0.00178161:0.15893:0.110734:299898:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.115785 ES:SE:LP:AF:SS:ID 0.00107968:0.00168489:0.282618:0.115785:299898:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0973319 ES:SE:LP:AF:SS:ID 3.12542e-05:0.00189296:0.00575898:0.0973319:299898:rs371890604
1 717587 rs144155419 G A . PASS AF=0.015584 ES:SE:LP:AF:SS:ID -0.00574247:0.00453729:0.686869:0.015584:299898:rs144155419
1 723329 rs189787166 A T . PASS AF=0.0017922 ES:SE:LP:AF:SS:ID -0.0175764:0.0130727:0.747676:0.0017922:299898:rs189787166
1 730087 rs148120343 T C . PASS AF=0.056491 ES:SE:LP:AF:SS:ID 0.00301564:0.00234463:0.702506:0.056491:299898:rs148120343
1 731718 rs58276399 T C . PASS AF=0.121714 ES:SE:LP:AF:SS:ID 0.000680411:0.00159798:0.173758:0.121714:299898:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121126 ES:SE:LP:AF:SS:ID 0.000107628:0.00170469:0.0224328:0.121126:299898:rs61770163
1 734349 rs141242758 T C . PASS AF=0.120933 ES:SE:LP:AF:SS:ID 0.000705304:0.00159878:0.181047:0.120933:299898:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00584253 ES:SE:LP:AF:SS:ID 0.00421315:0.00728361:0.249518:0.00584253:299898:rs61770167
1 742813 rs112573343 C T . PASS AF=0.0018938 ES:SE:LP:AF:SS:ID 0.0209438:0.0137348:0.895202:0.0018938:299898:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.869748 ES:SE:LP:AF:SS:ID -0.000138105:0.00157578:0.0314419:0.869748:299898:rs529266287
1 750230 rs190826124 G C . PASS AF=0.0015117 ES:SE:LP:AF:SS:ID -0.0220056:0.0143639:0.90128:0.0015117:299898:rs190826124
1 751343 rs28544273 T A . PASS AF=0.122872 ES:SE:LP:AF:SS:ID -0.000324399:0.00156086:0.0781263:0.122872:299898:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.142608 ES:SE:LP:AF:SS:ID -6.60039e-05:0.00154309:0.0150759:0.142608:299898:rs200141114
1 751756 rs28527770 T C . PASS AF=0.122986 ES:SE:LP:AF:SS:ID -0.00033757:0.00155868:0.081686:0.122986:299898:rs28527770
1 753405 rs3115860 C A . PASS AF=0.870851 ES:SE:LP:AF:SS:ID -4.15206e-05:0.00151866:0.00957767:0.870851:299898:rs3115860
1 753425 rs3131970 T C . PASS AF=0.875488 ES:SE:LP:AF:SS:ID 0.000154008:0.00154398:0.035955:0.875488:299898:rs3131970
1 753541 rs2073813 G A . PASS AF=0.128619 ES:SE:LP:AF:SS:ID -0.000219398:0.00152259:0.0528482:0.128619:299898:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0364174 ES:SE:LP:AF:SS:ID -0.000369261:0.00276157:0.0488427:0.0364174:299898:rs12184325
1 754182 rs3131969 A G . PASS AF=0.870456 ES:SE:LP:AF:SS:ID -0.000104879:0.00151709:0.0246215:0.870456:299898:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870565 ES:SE:LP:AF:SS:ID -0.000182015:0.00151784:0.0435679:0.870565:299898:rs3131968
1 754334 rs3131967 T C . PASS AF=0.870453 ES:SE:LP:AF:SS:ID -8.6645e-05:0.00151703:0.020245:0.870453:299898:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00507322 ES:SE:LP:AF:SS:ID -0.00632132:0.00777095:0.380951:0.00507322:299898:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00504011 ES:SE:LP:AF:SS:ID -0.00589344:0.00779166:0.347344:0.00504011:299898:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00555847 ES:SE:LP:AF:SS:ID 0.0132284:0.00756265:1.0955:0.00555847:299898:rs184270342
1 755890 rs3115858 A T . PASS AF=0.870536 ES:SE:LP:AF:SS:ID -5.61042e-05:0.00151443:0.0130277:0.870536:299898:rs3115858
1 756434 rs61768170 G C . PASS AF=0.125958 ES:SE:LP:AF:SS:ID -7.50889e-05:0.00154552:0.0171636:0.125958:299898:rs61768170
1 756604 rs3131962 A G . PASS AF=0.870101 ES:SE:LP:AF:SS:ID -0.000206244:0.00151083:0.0499186:0.870101:299898:rs3131962
1 757640 rs3115853 G A . PASS AF=0.869409 ES:SE:LP:AF:SS:ID -0.000235849:0.00150948:0.0575752:0.869409:299898:rs3115853
1 757734 rs4951929 C T . PASS AF=0.870249 ES:SE:LP:AF:SS:ID -9.42755e-05:0.00151205:0.0221466:0.870249:299898:rs4951929
1 757936 rs4951862 C A . PASS AF=0.870255 ES:SE:LP:AF:SS:ID -9.3125e-05:0.00151216:0.0218679:0.870255:299898:rs4951862
1 758144 rs3131956 A G . PASS AF=0.870264 ES:SE:LP:AF:SS:ID -9.11369e-05:0.00151221:0.0213891:0.870264:299898:rs3131956
1 758626 rs3131954 C T . PASS AF=0.870702 ES:SE:LP:AF:SS:ID -6.46295e-05:0.00151603:0.0150247:0.870702:299898:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0989748 ES:SE:LP:AF:SS:ID 0.000172939:0.00176051:0.0353878:0.0989748:299898:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.0064479 ES:SE:LP:AF:SS:ID 0.0112414:0.00682978:1.00096:0.0064479:299898:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.874623 ES:SE:LP:AF:SS:ID 0.000127317:0.00153866:0.029628:0.874623:299898:rs3115851
1 761732 rs2286139 C T . PASS AF=0.864005 ES:SE:LP:AF:SS:ID -0.000137673:0.00150899:0.0327769:0.864005:299898:rs2286139
1 761752 rs1057213 C T . PASS AF=0.869375 ES:SE:LP:AF:SS:ID 0.00015408:0.00152343:0.0364771:0.869375:299898:rs1057213
1 762273 rs3115849 G A . PASS AF=0.866335 ES:SE:LP:AF:SS:ID 0.000258604:0.00152393:0.0628584:0.866335:299898:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0988006 ES:SE:LP:AF:SS:ID -0.000103757:0.00182422:0.020159:0.0988006:299898:rs12095200
1 762589 rs3115848 G C . PASS AF=0.871553 ES:SE:LP:AF:SS:ID 0.000535995:0.0015413:0.137854:0.871553:299898:rs3115848
1 762592 rs3131950 C G . PASS AF=0.871553 ES:SE:LP:AF:SS:ID 0.000536061:0.0015413:0.137873:0.871553:299898:rs3131950
1 762601 rs3131949 T C . PASS AF=0.871552 ES:SE:LP:AF:SS:ID 0.000531626:0.00154133:0.136582:0.871552:299898:rs3131949
1 762632 rs3131948 T A . PASS AF=0.871924 ES:SE:LP:AF:SS:ID 0.000484361:0.00154224:0.122932:0.871924:299898:rs3131948
1 764191 rs7515915 T G . PASS AF=0.125557 ES:SE:LP:AF:SS:ID -0.000520841:0.00154346:0.133253:0.125557:299898:rs7515915
1 766007 rs61768174 A C . PASS AF=0.105553 ES:SE:LP:AF:SS:ID 0.0014354:0.00167939:0.405926:0.105553:299898:rs61768174
1 766105 rs2519015 T A . PASS AF=0.855334 ES:SE:LP:AF:SS:ID 0.000198985:0.00150824:0.048158:0.855334:299898:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00171307 ES:SE:LP:AF:SS:ID -0.0147397:0.0131025:0.584012:0.00171307:299898:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.838715 ES:SE:LP:AF:SS:ID 0.000206629:0.00148832:0.0508145:0.838715:299898:rs376645387